MemePasta — CS2 Stats
76561198108743830[U:1:148478102]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafing
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match

Plays most like jL 91% playstyle similarity
Most alike: aim profile, opening-fight frequency.
Where you differ: lower utility contribution.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Strengths
Aim. Aim score of 93 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 613ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| D | 35 | 12–23 | 34% | 0.01 | |
| A | 22 | 12–10 | 55% | 0.02 | |
| A | 13 | 8–5 | 62% | 0.03 | |
| S | 9 | 6–3 | 67% | 0.01 | |
| A | 7 | 4–3 | 57% | 0.02 | |
| S | 7 | 5–2 | 71% | 0.02 | |
| S | 6 | 5–1 | 83% | 0.02 | |
| — | 1 | 1–0 | 100% | 0.01 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (34% over 35). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 64 | 55% | 1.41 | 20.0 |
| Dust2 | 42 | 55% | 1.29 | 18.5 |
| Ancient | 23 | 65% | 1.37 | 20.3 |
| Inferno | 14 | 64% | 1.50 | 19.2 |
| Overpass | 11 | 36% | 1.09 | 16.9 |
| Nuke | 10 | 50% | 1.19 | 22.3 |
| Train | 5 | 40% | 1.09 | 22.2 |
| Anubis | 5 | 60% | 1.10 | 15.6 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4141 — below the 0.5 mark we flag
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 39.0573% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
34% win rate across 35 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | -0.04 | 21% | 26 Aug → | ||
| 9–13 | -0.07 | 36% | 24 Aug → | ||
| 13–11 | 0.06 | 38% | 7 Aug → | ||
| 13–7 | -0.02 | 56% | 6 Aug → | ||
| 13–2 | 0.07 | 33% | 5 Aug → | ||
| 13–8 | 0.00 | 28% | 4 Aug → | ||
| 9–13 | 0.03 | 53% | 4 Aug → | ||
| 13–10 | 0.05 | 32% | 3 Aug → | ||
| 13–6 | 0.07 | 37% | 3 Aug → | ||
| 13–9 | 0.03 | 43% | 3 Aug → | ||
| 13–4 | 0.07 | 65% | 2 Aug → | ||
| 0–13 | -0.05 | 33% | 2 Aug → | ||
| 13–11 | 0.05 | 39% | 2 Aug → | ||
| 13–9 | 0.09 | 27% | 2 Aug → | ||
| 11–13 | 0.03 | 29% | 1 Aug → | ||
| 13–11 | 0.03 | 24% | 1 Aug → | ||
| 11–13 | 0.02 | 24% | 1 Aug → | ||
| 10–13 | 0.05 | 28% | 1 Aug → | ||
| 10–13 | -0.04 | 14% | 1 Aug → | ||
| 13–4 | 0.06 | 23% | 1 Aug → | ||
| 13–7 | 0.07 | 32% | 1 Aug → | ||
| 13–5 | 0.00 | 25% | 1 Aug → | ||
| 13–0 | 0.07 | 26% | 1 Aug → | ||
| 15–15 | -0.01 | 27% | 31 Jul → | ||
| 9–13 | -0.02 | 30% | 30 Jul → | ||
| 6–13 | 0.05 | 29% | 30 Jul → | ||
| 8–13 | 0.05 | 27% | 29 Jul → | ||
| 8–13 | 0.01 | 21% | 29 Jul → | ||
| 9–13 | 0.04 | 24% | 28 Jul → | ||
| 13–8 | 0.11 | 35% | 27 Jul → | ||
| 10–13 | 0.01 | 28% | 27 Jul → | ||
| 11–13 | 0.01 | 23% | 25 Jul → | ||
| 13–7 | -0.01 | 24% | 25 Jul → | ||
| 13–5 | 0.10 | 43% | 24 Jul → | ||
| 11–13 | 0.01 | 49% | 23 Jul → | ||
| 16–13 | 0.00 | 18% | 22 Jul → | ||
| 13–6 | 0.02 | 26% | 20 Jul → | ||
| 13–11 | -0.05 | 32% | 20 Jul → | ||
| 13–3 | -0.04 | 41% | 19 Jul → | ||
| 13–7 | -0.02 | 42% | 15 Jul → | ||
| 9–13 | 0.04 | 31% | 13 Jul → | ||
| 11–13 | 0.03 | 26% | 13 Jul → | ||
| 13–1 | 0.17 | 35% | 5 Jul → | ||
| 5–12 | -0.02 | 23% | 1 Jul → | ||
| 10–13 | -0.04 | 28% | 29 Jun → | ||
| 13–7 | -0.02 | 37% | 28 Jun → | ||
| 4–13 | -0.06 | 24% | 24 Jun → | ||
| 16–14 | -0.03 | 28% | 22 Jun → | ||
| 9–13 | -0.07 | 43% | 21 Jun → | ||
| 15–15 | 0.03 | 21% | 21 Jun → | ||
| 2–13 | -0.01 | 33% | 21 Jun → | ||
| 13–6 | 0.01 | 21% | 20 Jun → | ||
| 11–13 | -0.04 | 16% | 20 Jun → | ||
| 1–13 | -0.06 | 22% | 20 Jun → | ||
| 7–13 | -0.03 | 25% | 20 Jun → | ||
| 13–8 | 0.01 | 16% | 20 Jun → | ||
| 9–13 | -0.03 | 24% | 19 Jun → | ||
| 13–7 | 0.07 | 22% | 19 Jun → | ||
| 11–13 | 0.01 | 23% | 18 Jun → | ||
| 13–7 | -0.03 | 21% | 15 Jun → | ||
| 13–2 | 0.03 | 15% | 15 Jun → | ||
| 13–8 | 0.07 | 37% | 15 Jun → | ||
| 13–7 | 0.07 | 34% | 14 Jun → | ||
| 13–7 | 0.08 | 18% | 14 Jun → | ||
| 13–4 | 0.06 | 16% | 14 Jun → | ||
| 2–13 | -0.05 | 13% | 14 Jun → | ||
| 15–15 | 0.02 | 23% | 14 Jun → | ||
| 13–5 | 0.09 | 41% | 13 Jun → | ||
| 13–10 | -0.02 | 24% | 11 Jun → | ||
| 7–13 | -0.02 | 19% | 10 Jun → | ||
| 10–13 | -0.03 | 20% | 8 Jun → | ||
| 1–13 | -0.10 | 28% | 7 Jun → | ||
| 6–13 | -0.05 | 17% | 7 Jun → | ||
| 7–13 | -0.07 | 9% | 6 Jun → | ||
| 16–12 | 0.05 | 34% | 5 Jun → | ||
| 13–1 | 0.07 | 23% | 5 Jun → | ||
| 13–8 | 0.01 | 23% | 4 Jun → | ||
| 4–13 | -0.05 | 16% | 4 Jun → | ||
| 13–8 | -0.01 | 16% | 3 Jun → | ||
| 16–13 | -0.03 | 25% | 3 Jun → | ||
| 13–2 | -0.05 | 16% | 3 Jun → | ||
| 15–15 | 0.05 | 26% | 2 Jun → | ||
| 8–13 | -0.04 | 24% | 2 Jun → | ||
| 5–13 | -0.05 | 26% | 2 Jun → | ||
| 8–13 | -0.04 | 11% | 1 Jun → | ||
| 9–2 | 0.06 | 19% | 31 May → | ||
| 13–6 | 0.12 | 29% | 31 May → | ||
| 13–5 | 0.05 | 32% | 31 May → | ||
| 12–16 | 0.00 | 19% | 31 May → | ||
| 7–13 | -0.03 | 21% | 31 May → | ||
| 13–1 | 0.11 | 18% | 31 May → | ||
| 13–9 | 0.12 | 16% | 31 May → | ||
| 13–3 | -0.00 | 14% | 31 May → | ||
| 11–13 | 0.01 | 30% | 30 May → | ||
| 11–13 | 0.01 | 34% | 30 May → | ||
| 13–9 | 0.06 | 38% | 24 May → | ||
| 13–8 | 0.11 | 19% | 24 May → | ||
| 13–4 | 0.07 | 27% | 24 May → | ||
| 16–14 | 0.07 | 20% | 24 May → | ||
| 8–13 | -0.03 | 23% | 24 May → |
Match data via Leetify.